Putting FACES on the Data

Author: Lyn Sharratt
Publisher: Corwin Press
ISBN: 1452283877
Category : Education
Languages : en
Pages : 281

Book Description
Build the bridge from data collection to improved instruction Students are people—not data. How can you use assessment data to focus on reaching every student? This book shows how to develop a common language for sharing all students’ progress with all teachers and leaders, and how to use ongoing assessment to inform instruction. Based on worldwide research of more than 500 educators, the book presents solutions organized by: Assessment Instruction Leadership Ownership The many benefits of personalizing data include increased student engagement and a positive impact on school culture. This reader-friendly guide helps you set goals, adjust lessons, identify students’ strengths and weaknesses, and implement interventions.

Putting FACES on the Data

Author: Lyn Sharratt
Publisher: Corwin Press
ISBN: 1452202583
Category : Education
Languages : en
Pages : 281

Book Description
Build the bridge from data collection to improved instruction Students are people-not data. How can you use assessment data to focus on reaching every student? This book shows how to develop a common language for sharing all students' progress with all teachers and leaders, and how to use ongoing assessment to inform instruction. Based on worldwide research of more than 500 educators, the book presents solutions organized by: Assessment Instruction Leadership Ownership The many benefits of personalizing data include increased student engagement and a positive impact on scho.

CLARITY

Author: Lyn Sharratt
Publisher: Corwin Press
ISBN: 1506358756
Category : Education
Languages : en
Pages : 242

Book Description
Shared knowledge between educators breeds shared success in all systems and schools Comprehensive in scope, CLARITY illustrates how system and school leaders must come together to boost student achievement and build teacher capacity to learn, teach and lead. By emphasizing collaborative processes, Lyn Sharratt’s detailed design demonstrates how shared knowledge, equity and expertise can make every classroom more impactful and every teacher more empowered. Readers will uncover these ‘Big Ideas’: 14 essential Parameters to guide system and school leaders toward building powerful collaborative learning cultures Case studies, vignettes and firsthand accounts from gifted teachers and leaders bring important theories and practices to life From all points in the organization, a ‘line-of-sight’ directly to students’ FACES in every classroom to ensure continuous improvement Data-driven tasks and tools to tackle solutions needed in all facets of education With more than four decades of research, writing and practical experience in system, school, and classroom improvement, Sharratt provides a ‘why-and-how-to guide’ to assist educators across the globe as they solve 21st century-created problems and identify the much-needed learning critical to the success of our future citizens.

Leading Collaborative Learning

Author: Lyn Sharratt
Publisher: Corwin Press
ISBN: 1506337651
Category : Education
Languages : en
Pages : 321

Book Description
Leadership, collaborative learning, and student achievement – discover what works! This resource-rich book provides a straightforward, strategic path to achieving sustainable communities of collaborative learners. Research-proven inquiry techniques, vignettes, case studies and action-oriented protocols help you build strong learning relationships for high-impact student achievement. System leaders, principals and teachers learn to: Integrate diverse views and perspectives Build trust and hear every voice Leverage key resources and processes Build students’ cognitive, interpersonal, and intrapersonal skills Use “Assessments-in-Action” to improve, monitor and sustain progress Build a collaborative culture through learning together Use this go-to guide to transform your school from a place of ‘good intentions’ to a center of intentional practice today!

Dear Data

Author: Giorgia Lupi
Publisher: Chronicle Books
ISBN: 1616895462
Category : Design
Languages : en
Pages : 304

Book Description
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Good to Great to Innovate

Author: Lyn Sharratt
Publisher: Corwin Press
ISBN: 1483352285
Category : Education
Languages : en
Pages : 263

Book Description
Guide your students to a successful future in the new economy How can schools best prepare students for the highly competitive job market and global economy? This compelling book presents a transformative approach to college and career readiness within the public education system, based on data and best practices contributed by outstanding schools on five continents. Written for education leaders at all levels, this resource shows how to Design an innovative Pathways approach to career readiness that empowers students as informed decision-makers Integrate career training into curriculum through a network of local community partners Develop an approach to life-skill preparation, K-12+, that is inclusive of all. Learn how educators—and entire school systems—can consistently support career development, helping students find rewarding paths forward. "Congratulations and thanks Sharratt and Harild for this inspirational look at Innovation as the next step to move school systems from Good to Great. The examples and advice shared throughout this book and it′s precursor, Putting FACES on the Data have been catalysts for leading my team to thoughtful collective action within our K- 12 Family of Schools as we create pathways for The Literate Graduates together." —Joy Uniac, Superintendent of Education Peel District School Board, Ontario, Canada "Through extensive research and practical examples, this outstanding book puts forward a compelling case for structured, collaborative inquiry processes to achieve success for ALL students." —Janelle Wills, Director Marzano Institute Australia "Without question the job market demands agility, resourcefulness, innovation and fearlessness. The authors of Good to Great to Innovate brilliantly map the DNA of a relevant education." —Debbie Hedgepeth, Assistant Superintendent Vail Unified School District, USA

Faces of Learning

Author: Sam Chaltain
Publisher: John Wiley & Sons
ISBN: 0470945915
Category : Education
Languages : en
Pages : 160

Book Description
Inspirational stories of engaging, real-life educational experiences Everyone has a personal learning story, a time when they became actively engaged in their own education. Maybe it was an especially challenging teacher, or a uniquely supportive environment, or a collaborative classroom. In Faces of Learning, both well-known public figures, such as Arne Duncan and Al Franken, and ordinary Americans recall the moments when they truly learned something. Includes stories from people of all different backgrounds and from all over the country The stories are grouped into categories by theme like "relevant" and "experiential" to help reveal the common characteristics of what works in education Each chapter ends with five things you can do to improve your own learning, that of your students, and of all Americans Readers can visit the companion website www.facesoflearning.net to share their own stories of educational success and find out what else they can do.

Realization

Author: Lyn Sharratt
Publisher: Corwin Press
ISBN: 1452273707
Category : Education
Languages : en
Pages : 137

Book Description
"Sharratt and Fullan are an educational dream team! The combination of Sharratt′s keen observations from her battle-tested district leadership experience and Fullan′s astute perspectives on the essential challenges of systemic reform produce fresh insights into the most difficult, yet most central challenges facing local education reformers today. Together the authors generate important new knowledge of how to sustain and deepen districtwide instructional reform beyond the first generation." —Jonathan Supovitz Associate Professor, University of Pennsylvania Senior Researcher, Consortium for Policy Research in Education A powerful approach to leading and sustaining districtwide change! Districtwide performance improvement requires a focus on capacity building, empowering colleagues throughout the organization to move change forward. Written by an experienced administrator who accomplished districtwide improvement on the ground and an internationally recognized expert in large-scale education reform, this compelling book outlines a step-by-step approach to implementing lasting, positive change across an entire district. This resource examines 13 research-based parameters for improving teacher and student performance, including advice on optimizing existing resources, and then introduces a 14th parameter—Realization—that goes beyond capacity building at the school and district level to systemwide change at the state level. Readers will find: A wealth of school-specific strategies that support effective assessment and instructional practices to improve students′ fundamental academic skills "Do′s" and "don′ts" from real districtwide school improvement programs Guidance on implementing program assessment and establishing accountability Help your district advance from vision to action to realization of student achievement!

How to Use Value-Added Analysis to Improve Student Learning

Author: Kate Kennedy
Publisher: Corwin Press
ISBN: 1412996333
Category : Education
Languages : en
Pages : 201

Book Description
Value-added is the most robust, statistically significant method for connecting teachers to students. In other words, value-added analysis links teachers to students and, for the very first time, allows educators to see the amount of growth they are facilitating with students. Built around the value-added analysis professional development work of Battelle for Kids, this book for district and school leaders prepares educators to understand and implement value-added analysis in order to ensure that all students are achieving and progressing. By providing a user-friendly, five-step implementation process along with success stories of schools, teachers, and students as well as strategies, samples, and tools, this book will equip educators to use value-added analysis to help accelerate student progress. It is written to inform readers about what value-added analysis is and to help them utilize value-added information in a classroom and/or school setting.

Foundations of Data Science

Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433

Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.